{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8aee4051-4cf9-4d25-9e67-8bb550a7ee8b",
   "metadata": {},
   "source": [
    "## Matplotlib应用\n",
    "### Matplolib简介\n",
    "\n",
    "理解Matplotlib，或者理解python中可视化操作，可以视其为一个个套娃，或者画一幅油画，不同的可视化对象层层叠叠，构成了最终的可视化图像。\n",
    "\n",
    "在Matplotlib中，一幅可视化图由以下几个对象构成：\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4e51216e-ff70-46e9-840a-687326cb650c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-14T02:28:09.122596Z",
     "iopub.status.busy": "2022-03-14T02:28:09.121470Z",
     "iopub.status.idle": "2022-03-14T02:28:09.427802Z",
     "shell.execute_reply": "2022-03-14T02:28:09.426971Z",
     "shell.execute_reply.started": "2022-03-14T02:28:09.122553Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 点和线###\n",
    "import matplotlib.pyplot as plt \n",
    "x=6\n",
    "y=3\n",
    "plt.plot(x,y,'o')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2af3f8e5-d6bc-4f06-872b-00befab43bf8",
   "metadata": {},
   "source": [
    "## Matplotlib中对象以及绘图步骤\n",
    "虽然直接使用pyplot中plot方法可以快速绘制图像，但是当遇到更为复杂的图形，或者希望进行细致的操作的时候，就需要按照步骤，一步步设置不同的对象。在此过程中，结合matplotlib的结构，就可以展现精美的可视化结果。\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/663b9e07d4c840b49b1499357c3f3f78a0511962c68c45598ec99bc8ff2faae7)\n",
    "\n",
    "Matpltlib中主要包含以下重要的对象：\n",
    "\n",
    "1. **figure**\n",
    "\n",
    "整个图形即是一个figure对象。figure对象至少包含一个子图，也就是axes对象。figure对象包含一些特殊的artist对象，如图名（title）、图例（legend）。\n",
    "\n",
    "2. **a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "92ec413e-68ff-4938-a5b7-6977cc7bb5d5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:06:23.362688Z",
     "iopub.status.busy": "2022-03-21T02:06:23.361880Z",
     "iopub.status.idle": "2022-03-21T02:06:23.549597Z",
     "shell.execute_reply": "2022-03-21T02:06:23.549007Z",
     "shell.execute_reply.started": "2022-03-21T02:06:23.362649Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>china</th>\n",
       "      <th>usa</th>\n",
       "      <th>king</th>\n",
       "      <th>japan</th>\n",
       "      <th>russia</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "      <td>241.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1920.000000</td>\n",
       "      <td>3906.327801</td>\n",
       "      <td>19019.580913</td>\n",
       "      <td>14975.016598</td>\n",
       "      <td>11803.473029</td>\n",
       "      <td>9165.580913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>69.714896</td>\n",
       "      <td>7897.060024</td>\n",
       "      <td>20966.605026</td>\n",
       "      <td>14186.285966</td>\n",
       "      <td>15780.652526</td>\n",
       "      <td>10130.108008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1800.000000</td>\n",
       "      <td>560.000000</td>\n",
       "      <td>1965.000000</td>\n",
       "      <td>3043.000000</td>\n",
       "      <td>1009.000000</td>\n",
       "      <td>1365.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1860.000000</td>\n",
       "      <td>735.000000</td>\n",
       "      <td>3354.000000</td>\n",
       "      <td>4926.000000</td>\n",
       "      <td>1116.000000</td>\n",
       "      <td>1831.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1920.000000</td>\n",
       "      <td>785.000000</td>\n",
       "      <td>8134.000000</td>\n",
       "      <td>7973.000000</td>\n",
       "      <td>2620.000000</td>\n",
       "      <td>3415.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1980.000000</td>\n",
       "      <td>1078.000000</td>\n",
       "      <td>29523.000000</td>\n",
       "      <td>20733.000000</td>\n",
       "      <td>21614.000000</td>\n",
       "      <td>15604.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2040.000000</td>\n",
       "      <td>34823.000000</td>\n",
       "      <td>79957.000000</td>\n",
       "      <td>56528.000000</td>\n",
       "      <td>55158.000000</td>\n",
       "      <td>39276.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              time         china           usa          king         japan  \\\n",
       "count   241.000000    241.000000    241.000000    241.000000    241.000000   \n",
       "mean   1920.000000   3906.327801  19019.580913  14975.016598  11803.473029   \n",
       "std      69.714896   7897.060024  20966.605026  14186.285966  15780.652526   \n",
       "min    1800.000000    560.000000   1965.000000   3043.000000   1009.000000   \n",
       "25%    1860.000000    735.000000   3354.000000   4926.000000   1116.000000   \n",
       "50%    1920.000000    785.000000   8134.000000   7973.000000   2620.000000   \n",
       "75%    1980.000000   1078.000000  29523.000000  20733.000000  21614.000000   \n",
       "max    2040.000000  34823.000000  79957.000000  56528.000000  55158.000000   \n",
       "\n",
       "             russia  \n",
       "count    241.000000  \n",
       "mean    9165.580913  \n",
       "std    10130.108008  \n",
       "min     1365.000000  \n",
       "25%     1831.000000  \n",
       "50%     3415.000000  \n",
       "75%    15604.000000  \n",
       "max    39276.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "###获取中国gdp数据\n",
    "data=pd.read_csv(\"课堂作业/data/line_animation.csv\")\n",
    "year=data['time']\n",
    "china=data['china']\n",
    "usa=data['usa']\n",
    "japan=data['japan']\n",
    "russia=data['russia']\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7fbd24a3-6715-45f9-aa65-ae31499e3385",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:06:34.540298Z",
     "iopub.status.busy": "2022-03-21T02:06:34.539628Z",
     "iopub.status.idle": "2022-03-21T02:06:34.854707Z",
     "shell.execute_reply": "2022-03-21T02:06:34.853965Z",
     "shell.execute_reply.started": "2022-03-21T02:06:34.540259Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:2064: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  x[:, None]\n",
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/axes/_base.py:248: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  x = x[:, np.newaxis]\n",
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/axes/_base.py:250: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  y = y[:, np.newaxis]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f84e34f9050>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#创建figure与axes对象\n",
    "fig,axes=plt.subplots()\n",
    "#设定figure图的大小\n",
    "fig.set_size_inches(10,10)\n",
    "#设定axesx轴y轴的数值范围\n",
    "axes.set_xlim(1800,2040)\n",
    "axes.set_ylim(0,40000)\n",
    "###基于plot方法绘图\n",
    "axes.plot(year,china,color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "16f98368-4e5e-4621-8ddf-701afbc9b9d9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-20T14:21:29.684683Z",
     "iopub.status.busy": "2022-03-20T14:21:29.683694Z",
     "iopub.status.idle": "2022-03-20T14:21:30.118365Z",
     "shell.execute_reply": "2022-03-20T14:21:30.117500Z",
     "shell.execute_reply.started": "2022-03-20T14:21:29.684648Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:2064: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  x[:, None]\n",
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/axes/_base.py:248: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  x = x[:, np.newaxis]\n",
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/axes/_base.py:250: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  y = y[:, np.newaxis]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb980437ed0>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#创建figure对象以及对象包含的多个子图\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(5,5)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"china\")#给第一个图赋值title\n",
    "#我们单独给第一个图的x轴y轴设置了不同的数值范围\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red')\n",
    "#定义第二个字图\n",
    "ax2=axes2[0,1]\n",
    "ax2.set_title(\"usa\")\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "#定义第三个字图\n",
    "ax3=axes2[1,0]\n",
    "ax3.set_title(\"japan\")\n",
    "ax3.set_xlim([1800,2040])\n",
    "ax3.set_ylim([0,80000])\n",
    "ax3.plot(year,japan,color='orange')\n",
    "#定义第四个字图\n",
    "ax4=axes2[1,1]\n",
    "ax4.set_title(\"russia\")\n",
    "ax4.set_xlim([1800,2040])\n",
    "ax4.set_ylim([0,80000])\n",
    "ax4.plot(year,russia,color='purple')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5b27c859-bff0-4df8-9c9c-0ef2ac722139",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:00:43.042194Z",
     "iopub.status.busy": "2022-03-21T02:00:43.041316Z",
     "iopub.status.idle": "2022-03-21T02:00:43.045959Z",
     "shell.execute_reply": "2022-03-21T02:00:43.045404Z",
     "shell.execute_reply.started": "2022-03-21T02:00:43.042149Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from matplotlib.font_manager import FontProperties\n",
    "## 中文显示问题\n",
    "myfont=FontProperties(fname=r\"/home/aistudio/external-libraries/微软雅黑.ttf\",size=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "22e4c13a-a9cc-4b50-9765-0ff132088295",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:07:15.678141Z",
     "iopub.status.busy": "2022-03-21T02:07:15.677207Z",
     "iopub.status.idle": "2022-03-21T02:07:16.166474Z",
     "shell.execute_reply": "2022-03-21T02:07:16.165781Z",
     "shell.execute_reply.started": "2022-03-21T02:07:15.678102Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f84e33f0350>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "## 中文显示问题\n",
    "myfont=FontProperties(fname=r\"external-libraries/微软雅黑.ttf\",size=12)\n",
    "#创建figure对象以及对象包含的多个子图\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(5,5)\n",
    "fig2.suptitle(\"各国GDP\",fontproperties=myfont)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"中国\",fontproperties=myfont)# 给第一个图副值titile\n",
    "#我们单独给第一个图的x轴y轴设置了不同的数值范围\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red',label='GDP' )\n",
    "#定义第三个字图\n",
    "ax2=axes2[1,0]\n",
    "ax2.set_title(\"美国\",fontproperties=myfont)\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "# 加入图例\n",
    "ax1.legend()\n",
    "ax2.legend(('the gdp of usa',),loc='right',fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3586f64e-a32a-4951-adc0-df0dfdf11d55",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:21:42.255780Z",
     "iopub.status.busy": "2022-03-21T02:21:42.255335Z",
     "iopub.status.idle": "2022-03-21T02:21:42.555127Z",
     "shell.execute_reply": "2022-03-21T02:21:42.554455Z",
     "shell.execute_reply.started": "2022-03-21T02:21:42.255734Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'年')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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q2mnAfZn5txHxDPDZiPhd4AngU8X9nwL+PCK2AZ1UAhyZuSki7gOeAQaB92TmKYCIeC/wINAC3JOZm2r03SRJUp16fFcXqxbP4cJFs8supapqEvgy8ynghjO076Ayn+/09mPAW87yXh8CPnSG9geAB867WEmS1BQykw27OnnFJUvLLqXqPGlDkiQ1pb3dR2nvOd7ww7lg4JMkSU2qWebvgYFPkiQ1qcd3dTF3ZgtXXbig7FKqzsAnSZKa0mO7u7h+zWKmtzR+HGr8byhJknSa/uODPLu/tymGc8HAJ0mSmtCTbd2cGkoDnyRJUqMaXrBxQ4MfqTbMwCdJkprOY7u7uGLFfBbNmVF2KTVh4JMkSU1laCh5fFcXN629oOxSasbAJ0mSmsq2jj56jg02zfw9MPBJkqQmMzx/78aLF5dcSe0Y+CRJUlN5sq2bxXNncMmyeWWXUjMGPkmS1FQ2tnVz3erFRETZpdSMgU+SJDWNgRODbGnv5brVi8oupaYMfJIkqWls2tfDUMJ1a5pn/h4Y+CRJUhN5sq0bgJetNvBJkiQ1pI1t3axaPIfWBbPKLqWmDHySJKlpPLXnCNetaa75e2DgkyRJTaKz/wS7Owe4rsmGc8HAJ0mSmsSTeyrz95ptwQYY+CRJUpN4qu0IEfCSVQ7pSpIkNaTv7jvCpcvmMX/W9LJLqTkDnyRJagrP7Ovh2ouar3cPDHySJKkJdPWfYG/3Ua69aGHZpZTCwCdJkhreM/t7AOzhkyRJalSb9h0B4Bp7+CRJkhrTM/t6WLloNhfMm1l2KaUw8EmSpIa3aV9P087fAwOfJElqcEdPnGJ7Rx/XNOn8PTDwSZKkBrf5QA9DCdestIdPkiSpIW3aN7xC18AnSZLUkJ7Z38OiOTNYvWRO2aWUxsAnSZIa2ub9PVx54QIiouxSSmPgkyRJDSsz2drex5UrFpRdSqkMfJIkqWHtP3KM3uODXHGhgU+SJKkhPdfeC2APX9kFSJIkVcuWA5XAd8WK+SVXUi4DnyRJalhb2vtYvmAWi+c255Fqwwx8kiSpYW1p7+XKJp+/BwY+SZLUoE4NJVsP9rJ+uYHPwCdJkhpSW+cAx04OceWFzT1/Dwx8kiSpQW1pH16wYQ+fgU+SJDWk4cC33sBn4JMkSY3pufY+Vi2ew/xZ08supXQGPkmS1JC2tveyvsn33xtm4JMkSQ1naCh5/lA/l7Ua+MDAJ0mSGtDe7qMcHxwy8BUMfJIkqeHsONQPwKWt80quZGow8EmSpIazo6MPMPANM/BJkqSGs6OjnwWzptM6f1bZpUwJBj5JktRwdhzq49LWeURE2aVMCQY+SZLUcHZ09HOpCzZeYOCTJEkNZeDEIPuPHOPSZc7fG2bgkyRJDWVHR2WF7mXL7eEbZuCTJEkNxS1ZXszAJ0mSGsqOjj4iYN1SA98wA58kSWoo2zv6WbV4DrNntJRdypRh4JMkSQ1lR0efK3RPY+CTJEkNIzPZdXjAFbqnMfBJkqSGcbj/BH3HB1m7dG7ZpUwpBj5JktQwdh2urNB1wcb3M/BJkqSGsfPQAIA9fKcx8EmSpIaxq3OAaQGrlxj4RjLwSZKkhrHrcD8XLZ7DzOlGnJFq8qcREWsi4hsR8UxEbIqIXyra/1NE7I2IjcXPG0a85tciYltEPBcRt41ov71o2xYR7x/RfklEfLto/+uImFmL7yZJkqaOnYcHnL93BrWKv4PAL2fmNcAtwHsi4pri2kcz8/ri5wGA4trbgGuB24GPR0RLRLQAfwy8HrgGePuI9/lw8V6XA13Au2r03SRJ0hSx+3C/8/fOoCaBLzP3Z+bjxeNe4Flg1SgvuQP4bGYez8zngW3Ay4ufbZm5IzNPAJ8F7oiIAF4LfK54/b3Am6rzbSRJ0lR0ZOAkXQMnDXxnUPMB7ohYB9wAfLtoem9EPBUR90TEkqJtFdA24mV7iraztS8FujNz8LR2SZLUJHZ1VrZkWeuQ7ovUNPBFxHzg88D7MrMH+ARwGXA9sB/4/RrUcFdEbIiIDR0dHdX+OEmSVCM7D1e2ZHEO34vVLPBFxAwqYe8vM/MLAJnZnpmnMnMI+FMqQ7YAe4E1I16+umg7W/thYHFETD+t/UUy85OZeXNm3tza2jo5X06SJJVud7Hp8sUXOKR7ulqt0g3gU8CzmfkHI9pXjrjtzcB3i8f3A2+LiFkRcQmwHvgO8CiwvliRO5PKwo77MzOBbwA/Ubz+TuBL1fxOkiRpatl5eIAVC2cxZ2ZL2aVMOdPHvmVSvBL4KeDpiNhYtH2Ayirb64EEdgI/D5CZmyLiPuAZKit835OZpwAi4r3Ag0ALcE9mbire71eBz0bE7wJPUAmYkiSpSew63O/8vbOoSeDLzIeBOMOlB0Z5zYeAD52h/YEzvS4zd/C9IWFJktRkdh0e4DVXOl3rTNyGWpIk1b2jJ05xsPe48/fOwsAnSZLqXltXZYXuGgPfGRn4JElS3WvrNPCNxsAnSZLq3guBb4mB70wMfJIkqe61dR1lzowWls2fWXYpU5KBT5Ik1b22zgFWL5lDZetfnc7AJ0mS6l5b11Hn743CwCdJkupaZrKnc8AtWUZh4JMkSXXtyNGT9B4fZPWSOWWXMmUZ+CRJUl1r6zwKuCXLaAx8kiSpru12S5YxGfgkSVJd+94pGw7pno2BT5Ik1bW2zgEWz53Bgtkzyi5lyjLwSZKkutbWddTh3DEY+CRJUl3b0zngcO4YDHySJKluDQ0le+zhG5OBT5Ik1a2Dvcc5cWqI1W7JMioDnyRJqlsvrNB10+VRGfgkSVLd2n24Evg8Vm10Bj5JklS32roGiIBV9vCNysAnSZLqVlvnUVYsmM2s6S1llzKlGfgkSVLdautyS5bxMPBJkqS6tadzwC1ZxsHAJ0mS6tKJwSH29xxzS5ZxMPBJkqS6tK/7KJluyTIeBj5JklSXXtiDzx6+MRn4JElSXdrdaeAbLwOfJEmqS22dR5nREly4cHbZpUx5Bj5JklSX2roGWLV4Di3TouxSpjwDnyRJqkt7Ogcczh0nA58kSapLbV1HWe0efONi4JMkSXWn//ggnf0nPGVjnAx8kiSp7rywJYs9fONi4JMkSXWnrfMo4JYs42XgkyRJdWd4D76LDXzjYuCTJEl1p61zgPmzprNk7oyyS6kLBj5JklR3dhdbskS4B994GPgkSVLd2d05wMWu0B03A58kSaormUlb54Dz9ybAwCdJkupKR+9xjg8OGfgmwMAnSZLqyvAK3dUGvnEz8EmSpLriliwTZ+CTJEl1ZXfnABGwarGLNsbLwCdJkurK7s4BLlw4m9kzWsoupW4Y+CRJUl1pK/bg0/gZ+CRJUl1p6zzKmiUGvokw8EmSpLpx7OQpDvQcc8HGBBn4JElS3djTdRSAi5e6YGMiDHySJKlutLklyzkx8EmSpLoxvAefizYmxsAnSZLqxu7OAWbPmEbr/Flll1JXDHySJKlutHUOsGbJXCKi7FLqioFPkiTVjd2dA87fOwcGPkmSVBcy002Xz5GBT5Ik1YXO/hP0nzhlD985MPBJkqS6sNstWc6ZgU+SJNWFtmLTZYd0J87AJ0mS6kLbC3vwecrGRBn4JElSXdh9eIBl82cxd+b0skupOwY+SZJUFypbsti7dy4MfJIkqS64B9+5M/BJkqQp7+SpIfYfOeqCjXNk4JMkSVPevu6jDKUrdM9VTQJfRKyJiG9ExDMRsSkifqlovyAiHoqIrcXvJUV7RMTHImJbRDwVETeOeK87i/u3RsSdI9pvioini9d8LDxkT5KkhuEefOenVj18g8AvZ+Y1wC3AeyLiGuD9wNcycz3wteI5wOuB9cXPXcAnoBIQgbuBVwAvB+4eDonFPT834nW31+B7SZKkGjDwnZ8JBb6IWHTa86sjYuZYr8vM/Zn5ePG4F3gWWAXcAdxb3HYv8Kbi8R3AZ7LiEWBxRKwEbgMeyszOzOwCHgJuL64tzMxHMjOBz4x4L0mSVOd2HR5gZss0ViycXXYpdWmiPXxPDz+IiFbgi0BHRPzueN8gItYBNwDfBlZk5v7i0gFgRfF4FdA24mV7irbR2vecoV2SJDWAnYf6uXjpXFqmOWPrXIwZ+CJiy8inww8ysyMzrwLWAe8cz4dFxHzg88D7MrNn5LWiZy7H8z7nIyLuiogNEbGho6Oj2h8nSZImwc7D/axbOq/sMurWeHr4Ru5w+KJAVgytHh7rTSJiBpWw95eZ+YWiub0YjqX4fbBo3wusGfHy1UXbaO2rz9D+Ipn5ycy8OTNvbm1tHatsSZJUsqGhZNfhAdYtdf7euRrP2SQjQ15ExDtOuz4fWDbaGxQrZj8FPJuZfzDi0v3AncB/LX5/aUT7eyPis1QWaBzJzP0R8SDwn0cs1LgV+LXM7IyInoi4hcpQ8TuAPxzHd5MkSVPcgZ5jHB8cYt0ye/jO1bkcRvdDpz0fBH52jNe8Evgp4OmI2Fi0fYBK0LsvIt4F7ALeWlx7AHgDsA0YoBgyLoLd7wCPFvf9dmZ2Fo9/Efg0lR7JLxc/kiSpzu083A/gkO55GE/gGzk7MjPz5yb6IZn58GnvM9LrznB/Au85y3vdA9xzhvYNwEsmWpskSZradh6qbMmybplDuufKkzYkSdKUtutwPzNbprFy0Zyxb9YZTTTwRUQcj4jOiPh2RLw/ImZVpTJJkiTgebdkOW/jCXwjF21kZs4C1gL/gcqCin+IiIXVKE6SJMkVuudvPIHvRXE6M3sz8+8z881UFlD86aRXJkmSmt7QULoH3yQYT+C7ZcTjM/Wl/hJwQ0TcMDklSZIkVbT3VrZkWeuWLOdlzMCXmSM3MH5LRFwIL+ytR2aeAN6UmU9Up0RJktSsnj9U2ZLlEnv4zst4jlb7dESsiIhbMvMRKnvkATw24rY/iYi1ValQkiQ1rV2H3ZJlMoxnSHchlf36Pl48j5G/i1W6V3OWo8wkSZLO1c5DbskyGc668XJEXAJccYZLp5+n+3rgocwcnMzCJEmSdh52S5bJMNZJG38IHD7LtSzm8X0AmPDpG5IkSWPZecgtWSbDWYd0M/N54OeLe07v1YPKkO5ngC9m5pPVKU+SJDWroaFkV6dbskyGUefwZeY3gH3ABuCaiNgNrIuIv6Uy3Hs4M/9L9cuUJEnNpr33GMdOuiXLZBg18EXEEiq9e7cCzwE3AG3ATwA7gX8eEXdVuUZJktSEdh6qrNB1S5bzN9qijTnAN4FBoAs4lZmHI+JUZh6LiOPADwGPRsR3MnNjTSqWJElNYefhyh58a53Dd95G6+F7NfBHwK6zXI/M7Ad+A/j1yS5MkiQ1t+EtWS5a7JYs52u0RRsPZubIM3LPth76fuCVRY+gJEnSpNh5uJ81F8xxS5ZJMJ6Nl4PKPL4Pjnj+gmL/vY3AD0xuaZIkqZntPDTAJS7YmBRj7cMH8FOZ2UdltS7Afyh+/6sR97wvM7dMamWSJKlpDW/J8qr1y8oupSGMGviKY9N+IyJ+GOgB/iwzPwOQmTuG7zPsSZKkyTS8Jcs6e/gmxVg9fP8NeBXwB8BcKuFv1mlz+yRJkibV8JYsnrIxOcYKfD8OvC4znwOIiMeAPwcMfJIkqWqGt2TxlI3JMdaijZXDYa+wEbi8ivVIkiSx87BbskymsXr4IiLezfevzJ0eEb848qbM/PikVyZJkprWzkNuyTKZxgp83wLeelrb3wFvGfE8AQOfJEmaNDs6+rm0dX7ZZTSMUQNfZr6mRnVIkiQBMHhqiJ2H+3nd1SvKLqVhjGcfvuFzdW+nMn9vEHgK+EZmDlWxNkmS1ITauo5y8lRyWasLNibLmIGv2IPvL4AjwGZgEfB+oDci3p6Zj1a3REmS1Ey2HewD4PLlDulOlrE2Xn4p8FfAOzPzb0a0TwPeDfxNRLwqM7dVt0xJktQstndUAp9z+CbPWD18vwn8t5FhD6AYyv3jiJgN3A38VJXqkyRJTWb7wT5aF8xi0ZwZZZfSMMbah++fA/eNcv0vgX85eeVIkqRmt72jz/l7k2yswLcsM58/28XMPAC0Tm5JkiSpWWUm2zv6uczh3Ek1no2XX8/3b7z8onsmsR5JktTEDvef4MjRkwa+STZW4NvN2Jsq75503XlsAAAgAElEQVSkWiRJUpPbXqzQvcwVupNqrI2X19WoDkmSJLZ39AM4h2+SjWvj5ZEiYu5pTUczMyepHkmS1MS2d/Qxe8Y0Llo0p+xSGsqoizYi4iMR8ZunNfcBvSN+/0qVapMkSU1me0cfly6bz7RpLhGYTGOt0n0r8MAZ2i8FLgF+EnjLZBclSZKa0/aOPufvVcFYga8VeOb0xszclZm7gPuBy6pRmCRJai7HTp5iT9dR5+9VwViBrwtYeFrbmhGPZwItk1qRJElqSs8f6icTt2SpgrEC35eBXxzZkJl7Rzx9C7BhsouSJEnNZ/gMXQPf5Btrle4Hge8UK3N/JzN7ACJiBvBu4LeBN1a3REmS1Ay2H+wnAi5Z5pDuZBtrH769EfFq4FPA4YhoA04Ca4EDwL/OzIerX6YkSWp02zr6WLV4DnNmOltsso25D19mbgdeExGXAy+jMm9vJ/BoZp6qbnmSJKlZbD/Y53BulYwZ+CJiEfADwDEqx6gdA44CKyKiPzOPVLdESZLU6IaGkh2H+rjl0qVll9KQxnPSxlXAPcA/ArOAOVR6+eYC8yNiKfCRzPz9qlUpSZIa2r4jRzl2cojLljt/rxrGe7TaY5n5tuEnEfFu4KnM/IeIWEZlrz4DnyRJOiffO0PXId1qGGtblmEvnJUbETcBe4H3AWTmIWCoWLkrSZI0YdsPVrZkudxTNqpirLN0F572/EbgC8A24IaIWF5cWpyZJ6tToiRJanTbO/pYNGcGS+fNLLuUhnTWwBcRM4FngU/wvdM2fg/48cx8BvgM8AtF+zXVLFKSJDW27R19XNY6j4gou5SGdNbAl5kngHXAbwH9EfE08MnMfKy45R7gXRERmbmj6pVKkqSGtb2j3/l7VTTqkG5mnszML2XmHcAfAa+O70XvlcAvZGae/R0kSZJGd+ToSTp6j3OZ8/eqZryLNgB+KTPfOyLgzQPeVYWaJElSE9nhGbpVN+q2LBHxEJUVugFcHBFfHXF5GvDKiFiSmV1VrFGSJDWw723J4h581TLWPnzDizIC+Arw7tOuvwf4SSrDvZIkSRO2vaOPGS3Bmgvmll1Kwxo18BXn6AIQEV8d+bxo+yRwd0RcmJm/UaUaJUlSA9t+sI+1S+cxo2UiM800EeM9aYPM/MUztG2OiFVA66RWJUmSmsb2jj43XK6yc47SETEtIu4F1gI/NXklSZKkZnHy1BC7Dg+4YKPKzinwRcQa4MvA9cAPZub+Sa1KkiQ1hV2HBxgcSgNflU0o8EXE6oj4MPAE8PfAKzJzb1UqkyRJDW/78JYsDulW1VjbsvwJsA8YBN4IzAU+DVydmR1Vr06SJDW04cB3qVuyVNVYPXxPFr+vBS4AlgMXF78lSZLOy/aD/SxfMIuFs2eUXUpDG2tblo+PfB4RlwHvBL4REV8CPmBPnyRJOlfbO/qcv1cDE5rDl5nbi/32rgJmAhsi4uqqVCZJkhpaZlYC33KHc6vtnFbpZmZnZt4JfAx4OCLWj3Z/RNwTEQcj4rsj2v5TROyNiI3FzxtGXPu1iNgWEc9FxG0j2m8v2rZFxPtHtF8SEd8u2v86Imaey/eSJEm109F7nN5jg/bw1cB5bWmdmb8P/Anwv8YIWZ8Gbj9D+0cz8/ri5wGAiLgGeBuVeYO3Ax+PiJaIaAH+GHg9cA3w9uJegA8X73U50AW863y+lyRJqr4t7ZUFG1esWFByJY1vMs4w+U3gi6PdkJnfAjrH+X53AJ/NzOOZ+TywDXh58bMtM3dk5gngs8AdERHAa4HPFa+/F3jTxL+GJEmqpa0HewFYv8Ievmo778CXmacy87eKEDZR742Ip4oh3yVF2yqgbcQ9e4q2s7UvBbozc/C0dkmSNIVtPdjHojkzaJ0/q+xSGl6ZpxR/AriMymkd+4Hfr8WHRsRdEbEhIjZ0dLjAWJKksmxt7+WKFfOpDNapmkoLfJnZXvQODgF/SmXIFmAvsGbErauLtrO1HwYWR8T009rP9rmfzMybM/Pm1tbWyfkykiRpQjKTLe19XL7c+Xu1UFrgi4iVI56+GRhewXs/8LaImBURlwDrge8AjwLrixW5M6ks7Lg/MxP4BvATxevvBL5Ui+8gSZLOzaG+Exw5epL1HqlWE6NuvDxZIuKvgNcAyyJiD3A38JqIuB5IYCfw8wCZuSki7gOeoXKk23sy81TxPu8FHgRagHsyc1PxEb8KfDYifpfKOb+fqsX3kiRJ52Zre2XBhit0a6MmgS8z336G5rOGssz8EPChM7Q/ADxwhvYdfG9IWJIkTXFbD1a2ZHGFbm2UuWhDkiQ1qa0He1k4ezrLF7hCtxYMfJIkqea2tPexfsUCV+jWiIFPkiTV3LaDfVzhcG7NGPgkSVJNHe47Tmf/CbdkqSEDnyRJqqnnDgyv0LWHr1YMfJIkqaaeLQLf1SsXllxJ8zDwSZKkmtq8v4fWBbNY5hm6NWPgkyRJNfXsgR6uutD5e7Vk4JMkSTUzeGqILe19DufWmIFPkiTVzM7D/ZwYHLKHr8YMfJIkqWae3V9ZsHHVhfbw1ZKBT5Ik1czmAz1MnxZctnxe2aU0FQOfJEmqmc37e7msdT6zpreUXUpTMfBJkqSa2Xygl6tWOn+v1gx8kiSpJo4cPcne7qOu0C2BgU+SJNXE8JFqrtCtPQOfJEmqiWf39wAeqVYGA58kSaqJzQd6WDJ3BssXeKRarRn4JElSTTy7v5erLlxIRJRdStMx8EmSpKobGkqec4VuaQx8kiSp6nZ3DnD05Cmu9oSNUhj4JElS1W0+UFmwYQ9fOQx8kiSp6p7d38u0gCtWGPjKYOCTJElVt/lAD5csm8fsGR6pVgYDnyRJqrpn9/dylfvvlcbAJ0mSqqrv+CC7Owe42hM2SmPgkyRJVfW9I9Xs4SuLgU+SJFWVK3TLZ+CTJElVtXl/LwtmTWfV4jlll9K0DHySJKmqNh/o4aqVCzxSrUQGPkmSVDWZyebiDF2Vx8AnSZKqZm/3UXqPD3K1W7KUysAnSZKq5tn9xQpdF2yUysAnSZKqZvP+ygrdKz1SrVQGPkmSVDWbD/Sydulc5s2aXnYpTc3AJ0mSqubZAz1c5QkbpTPwSZKkqjh64hQ7D/W7QncKMPBJkqSq2Hqwl6GEq12wUToDnyRJqorN+z1Dd6ow8EmSpKp49kAPc2e2cPEFc8supekZ+CRJUlVs3t/LlRcuYNo0j1Qrm4FPkiRNuswsVug6nDsVGPgkSdKka+85TvfASRdsTBEGPkmSNOmePVA5YcMevqnBwCdJkibd8ArdK910eUow8EmSpEm3+UAPqxbPYdGcGWWXIgx8kiSpCjbv7/VItSnEwCdJkibV8cFTbO/o4yoXbEwZBj5JkjSpth/sZ3AouXqlCzamCgOfJEmaVM/ud4XuVGPgkyRJk2rzgR5mTp/GuqUeqTZVGPgkSdKk2rSvh6suXMD0FmPGVOHfhCRJmjSZyaZ9PVx70aKyS9EIBj5JkjRp9nYf5cjRk1x7kfP3phIDnyRJmjTf3VtZsGHgm1oMfJIkadI8s+8ILdPCLVmmGAOfJEmaNJv29XBZ6zxmz2gpuxSNYOCTJEmTZtO+Hl7igo0px8AnSZImxaG+4xzoOcY1zt+bcgx8kiRpUmzaN7xgwx6+qcbAJ0mSJsWmfUcA7OGbggx8kiRpUmza18PFF8xl0ZwZZZei0xj4JEnSpHjuQC9XXbig7DJ0BjUJfBFxT0QcjIjvjmi7ICIeioitxe8lRXtExMciYltEPBURN454zZ3F/Vsj4s4R7TdFxNPFaz4WEVGL7yVJkiqOD57i+UP9XGngm5Jq1cP3aeD209reD3wtM9cDXyueA7weWF/83AV8AioBEbgbeAXwcuDu4ZBY3PNzI153+mdJkqQqev5QP6eGkvUrDHxTUU0CX2Z+C+g8rfkO4N7i8b3Am0a0fyYrHgEWR8RK4DbgoczszMwu4CHg9uLawsx8JDMT+MyI95IkSTXw3IFeAK5YMb/kSnQmZc7hW5GZ+4vHB4AVxeNVQNuI+/YUbaO17zlDuyRJqpGt7X1MnxZcuszANxVNiUUbRc9c1uKzIuKuiNgQERs6Ojpq8ZGSJDW8Le29rFs2j5nTp0S00GnK/FtpL4ZjKX4fLNr3AmtG3Le6aButffUZ2s8oMz+ZmTdn5s2tra3n/SUkSVIl8F3p/L0pq8zAdz8wvNL2TuBLI9rfUazWvQU4Ugz9PgjcGhFLisUatwIPFtd6IuKWYnXuO0a8lyRJqrJjJ0+xq3OA9c7fm7Km1+JDIuKvgNcAyyJiD5XVtv8VuC8i3gXsAt5a3P4A8AZgGzAAvBMgMzsj4neAR4v7fjszhxeC/CKVlcBzgC8XP5IkqQa2HewjE66wh2/Kqkngy8y3n+XS685wbwLvOcv73APcc4b2DcBLzqdGSZJ0bra0D6/QNfBNVc6slCRJ52VLex8zW6axbuncskvRWRj4JEnSednS3sulrfOY3mKsmKr8m5EkSedlS3uvw7lTnIFPkiSds/7jg+zpOuoJG1OcgU+SJJ2zrQf7ABdsTHUGPkmSdM62HHCFbj0w8EmSpHO2pb2X2TOmseYCV+hOZQY+SZJ0zrYc7OPy5fNpmRZll6JRGPgkSdI523KglyuWO5w71Rn4JEnSOTly9CQHeo5xxYUGvqnOwCdJks7J1heOVHNLlqnOwCdJks7Jlna3ZKkXBj5JknROtrT3Mm9mC6sWzym7FI3BwCdJks7JlvZeLl+xgAhX6E51Bj5JkjRhmVk5Q3e58/fqgYFPkiRN2P4jxzjUd4KXrFpUdikaBwOfJEmasKf2dANw3ZrFJVei8TDwSZKkCdvYdoQZLcHVK12hWw8MfJIkacKe2tPN1SsXMmt6S9mlaBwMfJIkaUKGhpKn9hzhZaudv1cvDHySJGlCdhzqo+/4INetdv5evTDwSZKkCXmy7Qjggo16YuCTJEkT8uSebubObOGyVvfgqxcGPkmSNCFP7jnCS1ctomWaJ2zUCwOfJEkatxODQzy7r8fh3Dpj4JMkSeO2ad8RTpwa4noDX10x8EmSpHF7YnflhI0bL15SciWaCAOfJEkat8d3d3HRotlcuGh22aVoAgx8kiRp3J7Y3c0N9u7VHQOfJEkal/aeY+ztPsoNFzt/r94Y+CRJ0rg8sbsLgBvX2sNXbwx8kiRpXB7f3c3Mlmlce9HCskvRBBn4JEnSuDyxu4trVy1k1vSWskvRBBn4JEnSmE4MDvHUniNux1KnDHySJGlMW9p7OT7ohsv1ysAnSZLGtKW9F4CrLlxQciU6FwY+SZI0pi3tfcxoCdYtm1d2KToHBj5JkjSmre29XLJsHjNajA71yL81SZI0pi0He1m/wuHcemXgkyRJoxo4MUhb51GuWG7gq1cGPkmSNKptB/sAuGLF/JIr0bky8EmSpFFtaa8EPod065eBT5IkjWprey8zW6axbuncskvROTLwSZKkUW1p7+XS1nlMd4Vu3fJvTpIkjWpLex9XOJxb1wx8kiTprPqPD7K3+6gLNuqcgU+SJJ3V1oMu2GgEBj5JknRWT+89AsA1KxeWXInOh4FPkiSd1ZNt3SydN5PVS+aUXYrOg4FPkiSd1ca2bq5bs5iIKLsUnQcDnyRJOqOeYyfZ3tHH9WsWl12KzpOBT5IkndHTe46QCdcZ+OqegU+SJJ3RxrZuAK5bvajkSnS+DHySJOmMnmzr5pJl81g8d2bZpeg8GfgkSdKLZGZlwYa9ew3BwCdJkl7kQM8xDvYed8FGgzDwSZKkF9m4u5i/Z+BrCAY+SZL0Io/sOMycGS1ce5FDuo3AwCdJkl7k4W2HePklFzBzulGhEfi3KEmSvs/+I0fZ3tHPqy5fVnYpmiQGPkmS9H3+YdthAF5p4GsYBj5JkvR9/nHbIZbOm8lVFy4ouxRNEgOfJEl6QWby8LZD/ODly5g2LcouR5Ok9MAXETsj4umI2BgRG4q2CyLioYjYWvxeUrRHRHwsIrZFxFMRceOI97mzuH9rRNxZ1veRJKmebTvYx8He47zq8qVll6JJVHrgK/yLzLw+M28unr8f+Fpmrge+VjwHeD2wvvi5C/gEVAIicDfwCuDlwN3DIVGSJI3f3289BDh/r9FMlcB3ujuAe4vH9wJvGtH+max4BFgcESuB24CHMrMzM7uAh4Dba120JEn17qvPHODy5fNZvWRu2aVoEk2FwJfAVyPisYi4q2hbkZn7i8cHgBXF41VA24jX7inaztYuSZLGqaP3ON95vpM3vHRl2aVokk0vuwDgVZm5NyKWAw9FxOaRFzMzIyIn68OKUHkXwMUXXzxZbytJUt17cNMBhhJ+xMDXcErv4cvMvcXvg8AXqczBay+Gail+Hyxu3wusGfHy1UXb2drP9HmfzMybM/Pm1tbWyfwqkiTVtS9/dz+Xts7jihXzyy5Fk6zUwBcR8yJiwfBj4Fbgu8D9wPBK2zuBLxWP7wfeUazWvQU4Ugz9PgjcGhFLisUatxZtkiRpHA73Heefth/mDS9ZSYTbsTSasod0VwBfLP7Bmg78f5n5lYh4FLgvIt4F7ALeWtz/APAGYBswALwTIDM7I+J3gEeL+347Mztr9zUkSapvX32mnaHE+XsNqtTAl5k7gOvO0H4YeN0Z2hN4z1ne6x7gnsmuUZKkZnD/xn2sWzqXq1d6ukYjKn0OnyRJKte+7qM88vxh3nTDKodzG5SBT5KkJve/N+4lE958gzuaNSoDnyRJTSwz+eLje7lp7RLWLp1XdjmqEgOfJElNbNO+HrYe7LN3r8EZ+CRJamJfeHwvM1um8caXuTq3kRn4JElqUgMnBvncY2388DUrWDx3ZtnlqIoMfJIkNanPP7aHnmODvPOV68ouRVVm4JMkqQkNDSX3/MNOrlu9iJvWLim7HFWZgU+SpCb0zS0Hef5QPz/zqkvce68JGPgkSWpCf/qt51mxcJZHqTUJA58kSU3mH7cf4p92HOZnX3UpM1qMAs3Av2VJkppIZvKRB5/jwoWz+al/trbsclQjBj5JkprI1zcf5PHd3fzb161n9oyWsstRjRj4JElqEqeGkv/24HOsWzqXt9y8uuxyVEMGPkmSmsTnH9/D5gO9/PKtVzp3r8n4ty1JUhPoPz7IRx58jhsuXuwxak3IwCdJUhP45Ld2cLD3OL/xI1e7714TMvBJktTgdh8e4JPf2sGPvGwlN629oOxyVAIDnyRJDezUUPLv7tvI9Jbg199wddnlqCTTyy5AkiRVz//4u+08tquL//6267lo8Zyyy1FJ7OGTJKlBfXfvET760Bbe+LKV/Nh1F5Vdjkpk4JMkqQEdO3mK9/31RpbOn8nvvuklLtRocg7pSpLUgD78lc1sO9jHn7/r5SyeO7PsclQye/gkSWow/7j9EH/2Dzv56R9cxw+tby27HE0BBj5JkhrIsZOn+MAXnmbt0rm8//VXlV2OpgiHdCVJaiB/+PWt7Dw8wF/+7CuYPaOl7HI0RdjDJ0lSg9h8oIc/+bsd/MRNq3nl5cvKLkdTiIFPkqQGcGooef/nn2bhnBlusKwXMfBJktQA/uKRXWxs6+aDb7yGJfNclavvZ+CTJKnO7es+yu99ZTOvvqKVO653g2W9mIFPkqQ6lpl88EubOJXJh9xgWWdh4JMkqY595bsH+L/PtvPvf/gK1lwwt+xyNEUZ+CRJqlNHjp7k7vs3cc3KhfzMKy8puxxNYe7DJ0lSnfq9r2zmUN9x/uedNzO9xT4cnZ3/dEiSVIce3dnJX357N+985SW8bPXissvRFGfgkySpzhwfPMWvfeFpVi2ew7//4SvKLkd1wCFdSZLqzP/45g62Hezjz376B5g3y/+Ua2z28EmSVEe2Hezjj7+xjR+97iL+xVXLyy5HdcLAJ0lSnRgaSj7whaeZPWMaH3zjNWWXozpi4JMkqU789YY2vrOzk1//katpXTCr7HJURwx8kiTVgb3dR/nP/+dZXnHJBbz15jVll6M6Y+CTJGmKGxpKfvm+jQxl8pG3XOfxaZowA58kSVPcpx5+nkd2dHL3j13r8Wk6J67lliSpJG2dA/zvJ/byyPOH6T9+igh49fpWfuRlK1m/fD5QCXv/5cvPcus1K3jLTatLrlj1ysAnSVINPbWnm/s37uOfdhxm074eAF66ahFL5s2k//ggH/v6Vv7717ayavEcVi2Zw3ee7+S2a1fwB2+93qFcnTMDnyRJNbCna4APf+U5/ubJfcycPo0bL17Mf7ztSu64/iJWL/neMO3B3mM89Ew7f7/lEE/vPcK/+5dX8G9eeznTphn2dO4MfJIkVVl7zzF+/OP/SM+xk/yb117OXa++lAWzZ5zx3uULZvOTr1jLT75ibY2rVCMz8EmSVEXHB0/xC3/xGL3HBvnCu1/JNRctLLskNSEDnyRJVbK1vZc/eGgLT+zu5uM/eaNhT6Ux8EmSNMk27Ozkw1/ZzKM7u5g+LfiPt13JG166suyy1MQMfJIknaejJ06xt3uAx3d383+faeerz7SzYuEsfv0NV/PmG1exbL7HoKlcBj5Jkiao7/ggX9q4l68/e5Dv7Oyk99jgC9eWzJ3B+/7leu569aXMnel/ZjU1+E+iJKkUmckz+3to7znGicEhFsye8cLeczNapu5BUJsP9PDuv3ic5w/1s+aCObzxZRex5oI5rFgwm+vWLOLSZfPdQkVTjoFPklQ1JwaH+NTDz/P5x/fw0z+4jre//GK6B07wxSf2ct+GNra0973oNQtmT+d1Vy3n1msv5J9f0cq8WdX5T9WhvuPsOjzA5cvns2jODLZ39PGV7x7g+MlTzJ7Zwq5DA2xs6yYCrrloIRfMncn/3979B8dR3nccf3/vdLo7W7Ik25KxJdmY1i64bYyxQiEDJBMSAnTAmUmg5I+GKaTJtJMOgelMYZKhM03aaWmmM/3BNE0HOtA0ZZqSKbRA+dGWH2UwsQ042DUYY2OwJduy9cOSfTrd3T79Yx+dVuLkQbLklZbPa2Znn332udNz+u7dfnef3bve4SJP7z7CklyGH3/t17j8F5bpy5BlQTDnXNx9iE1XV5fbvn173N04JyqBo3eoSPdggZ6BEboHCnQPFugeKHCov0DfqVGydSlymTT5+jT5TDjlIuV8fTpcn0mTz6QmLvt2kx+fr0+TrUvpA1ESxzmHc1BxjmCsHITlwIU/dl8tu9r1lcDhIuXgQ8/pqASRxwdw4lSRQ/0F2pvz3Lhx1YQzSUHg+Nl7fTy9+wjb3utjZVOeX1rRyPrzGlm/ooH25jwN2bpz8n50zvH83l7+5Ik9vHNsmI6WPIf6C6xeuoiewQKliuPizmZu7upkw6olZNLGYKHEof4C2w708dyeo/SfLlFfl+LGjau470uf+EhnzU4MF3lq1xHOX7aYK9Ytr9nm0R2H+P4zb9MzOAKAGZy3JFddHtOyKMPFnc0A7O4+ycmREssbsvxqexN/tOVXaG3UdXlybpnZDudc10weqzN8c+i946cYGimTSkE6ZaQsnMIy4XLKSJuRSoXLaV+XstqPqfVB7ZxjsFCie2CEHp/EdQ+GSV3PwAiHBwocPTlCOZiY3C+uT7OqOU9HS54NK5cwWgkojFYolCqMlCqcHClRGK0wUgoolCrVddNlBrm6aFIYJouLMnU+oUzVSCjTHymhzNWnquW6eToEFASO0UpAqRJQqjhKlYDR8qTlSkCpHFAOwuVK4ChVHJXAUQ4CyhU/DxzlSrjzn7h9MHFbGduGqtvTeJua2+LYdui3xclt0pH6dGS7HS6WOTZUpHeoSO/QSLU8WChVk5rwmDJMZALncIR14dz5sp9H2uDrw+dwmBn16RS5TIpsXXrCPJcJDyyyfp47w7xWXSoF7xwd5vX3+3n9/QHe+GCAvtOjPjmbmHBFk7e4/WjrQX7v6nWMlgN2HR7kX3cc4vBAoforDgeOn+K/3zpGJdLZfCZN25IsrQ1Z2pZkaWvM0dqYpbUxS1t1nmPp4nrSMxyW3NNzknsf28W29/pZvXQRD9zaxWcvbOPxnd08/MpBrtmwgps/2cn6FY01H39zVyflSsD2g/08uuMQP9lxiKvWt3LjxlVT/s3X3+/n71/azzO7j1Y/6269fA33XH8RuUwaCL8P74+f2MPDrxxk85oWbr9iLZ1LF7H3yBBvHRli0+pmbti4irbGLMVyoINVSRSd4ZvDM3xfe2g7z+05OqvPaRN24mG54hwjpWBCu0zaOK8px8qmPO3NeVY25VjVnGdVc1i3qjnPktz0j/SdcxTL44nhWCI4EilPmJcqjExoG3yoba3lUmX622UmbbUTxMjyWFIQTRJymTSBc5TKzidhwXiCVnYTl8+UsE3RvjIfMoNzxAyWLc7SsihTTRbMDPPrUmaYgfnGKV8ea5PyKz/c3nA4RssBI6WAYrlScz4bljdkubizmfbmHDYpobbJZRtPmFM28UCuVjntX89YIh0tV9tHDgBrLTflM3S05HnyzR6+98QeBgulat+vXLecL2/u4OqLVtDgh0GL5Qr7e0+x9+gQRwbHk/JjkQQ9esPBmHTKWLa4fjw5bMzRtiTLssX1LGvIsqyhnuUN4XLzovHk8Kk3e7jrX3ayOFvHHZ9bx290dVJfN/ODsSBwXPeXL1GqBDxz51UTDuycc7ywt5e/ff5dXj3QR1M+w02bO/jipnZ++tphHnz5ACubcty4cRWLs3X8aOtBjg0V+e0r1/IH1144bw8SRaZyNmf4lPDNYcK384MBjg0Vq8M2Fed8OTr0M3HIphKMD/tUqmcVJg3rRB8TOMxgxZIwoVvZlKO9Oc/yhuyCvmi4VBlPDEdGgzMmlyOR8ump1lcfG1AsBxRLFYrlMDGLSqeMTNrIpFPUp1Nk0ikydZOWx9bXTVqesn1YN2E5bZHHjz9HXcqo88thX1LhPJUinTYyqfEzdJXIWaeK34DkJBQAAAjYSURBVBYmbEPV8nib6rbot6+xbbESGT6cvL1Wt7dgcp1jUX26eoaorTHL0sX1se1Exw5GovEdiczPlCiOlgMuaF3MptXNtDfnF8xZnb5To+w6PEjzogwrm/IzHmIsjFbCs7TDIxw7WayZFB4bKnJiuFjzzGbKYKlP/PYdG2bT6mb+7jc309aYO8tXGHp69xG+8Y87uO/Ln6ie/XvizR5+8MJ+9vScZGVTjtuvWMtXLl094Xq/F/f28g8vH+Cld45TDhxXrW/l61deMOVQr8h8p4Rvhj5O1/BJbZXAUSxXSNl4ciUitVUCR//pUfpOjXJ8uMiJ4bB8YrjIcT9fs2wxd31+fXUYdTY459hy/8sc7i9w4cpGDvSeontwhF9sa+AbV13Alovbz3gWse/UKKdHy3S0LJq1PonEQQnfDCnhExFZGLa918cfPrabXCbFsoYsN23u4HMXrVjQIxki06WbNkREJNE+ef5Snrzjyri7IbJg6YpVERERkYRTwiciIiKScIlK+MzsWjN728z2mdndcfdHREREZD5ITMJnZmngfuA6YAPwFTPbEG+vREREROKXmIQPuBTY55zb75wbBR4BtsTcJxEREZHYJSnhawc+iCwf8nUiIiIiH2tJSvg+EjP7upltN7Ptvb29cXdHREREZM4lKeE7DHRGljt83QTOuR8657qcc12tra3nrHMiIiIicUlSwrcNWGdma82sHrgFeDzmPomIiIjELjG/tOGcK5vZN4GngTTwoHNud8zdEhEREYldYhI+AOfck8CTcfdDREREZD5J0pCuiIiIiNSghE9EREQk4ZTwiYiIiCScEj4RERGRhFPCJyIiIpJwSvhEREREEk4Jn4iIiEjCKeETERERSTglfCIiIiIJp4RPREREJOGU8ImIiIgknBI+ERERkYQz51zcfYiNmfUCB+f4zywHjs/x35CzpzjNf4rRwqA4LQyK0/xXK0ZrnHOtM3myj3XCdy6Y2XbnXFfc/ZAzU5zmP8VoYVCcFgbFaf6b7RhpSFdEREQk4ZTwiYiIiCScEr6598O4OyAfieI0/ylGC4PitDAoTvPfrMZI1/CJiIiIJJzO8ImIiIgknBK+GTCzB83smJntitRdbGZbzewNM9tuZpf6ejOzvzKzfWb2czO7JPKYW83sHT/dGsdrSappxugzZjbo698ws3sjj7nWzN728bs7jteSZFPEaaOZvWJmb5rZv5vZksi6e3ws3jazL0TqFac5NJ04mdn5ZlaIvJ9+EHnMZt9+n/9ctDheTxKZWaeZ/Y+Z/Z+Z7TazO3z9UjN71u9nnjWzFl+vfVMMZhCn2ds/Oec0TXMCrgIuAXZF6p4BrvPl64HnI+WnAAMuA1719UuB/X7e4sstcb+2pEzTjNFngP+o8Rxp4F3gAqAe2AlsiPu1JWmaIk7bgE/78m3Ad315g49BFljrY5NWnOZdnM6Ptpv0PD/zn4PmPxevi/u1JWUCVgKX+HIjsNe/Z+4D7vb1dwN/5svaNy2MOM3a/kln+GbAOfci0De5Ghg7E9EEdPvyFuBhF9oKNJvZSuALwLPOuT7nXD/wLHDt3Pf+42GaMZrKpcA+59x+59wo8AhhPGWWTBGn9cCLvvws8CVf3gI84pwrOucOAPsIY6Q4zbFpxqkm/7m3xDm31YV7rIeBL852Xz+unHM9zrnXfHkI2AO0E74XHvLNHmL8f659UwxmEKepTPtzTwnf7PkW8Odm9gHwfeAeX98OfBBpd8jXTVUvc2eqGAFcbmY7zewpM/tlX6cYxWM34x9cNwGdvqz30vwyVZwA1prZ62b2gpld6evaCWMzRnGaI2Z2PrAJeBVY4Zzr8auOACt8We+nmH3EOMEs7Z+U8M2e3wHudM51AncCD8TcH/mwqWL0GuHP1WwE/hr4t5j6J6HbgN81sx2EQx6jMfdHapsqTj3AaufcJuAu4MfR6zBlbplZA/Ao8C3n3MnoOn9mVV/NMQ9MI06ztn9Swjd7bgV+6ss/ITzdCnCYiUe+Hb5uqnqZOzVj5Jw76Zwb9uUngYyZLUcxioVz7i3n3DXOuc3APxNepwJ6L80rU8XJD7mf8OUdvn49YUw6Ik+hOM0yM8sQJhH/5Jwb+6w76odqx4bVj/l6vZ9iMp04zeb+SQnf7OkGPu3LnwXe8eXHga/6O6IuAwb9adungWvMrMXfjXONr5O5UzNGZnbe2N2C/s7dFHCC8KL0dWa21szqgVsI4ylzyMza/DwFfAcYu8vzceAWM8ua2VpgHeFNAIpTDKaKk5m1mlnaly8gjNN+/7l30swu8++3rwKPxdL5BPL/0weAPc65v4isepzwYBc/fyxSr33TOTbdOM3q/inuO1YW4kR4NNsDlAjHzW8HrgB2EN4p8yqw2bc14H7Co9w3ga7I89xGeOH5PuC34n5dSZqmGaNvEl6PtBPYCnwq8jzXE95F9S7w7bhfV9KmKeJ0h/+f7wX+FP8F8b79t30s3iZyh6fiNH/iRHjzxm7gDcLhqBsiz9MF7PJx+ptobDWddYyuIBwG/Ln/37/h3xfLgP8iPMB9Dljq22vftDDiNGv7J/3ShoiIiEjCaUhXREREJOGU8ImIiIgknBI+ERERkYRTwiciIiKScEr4RETOkpk1jP3YuYjIfKSET0Tk7P0+8N24OyEiMhV9LYuIyFkwszzwPlAEhs/Q9C4XflO+iMg5p4RPROQsmNl9wKhz7juRuv8Evuec+9/4eiYiMq4u7g6IiCxUZvZ54NeBS+Lui4jImegMn4jIDJnZp4AAuBdYHVm1BugFTkfqbnDOHTiH3RMRqVLCJyJylsxsH+FvkQ74ZQ3pisi8ort0RURERBJOCZ+IiIhIwmlIV0RkhszsYeDSGqs6gBNAIVJ32Dl39TnpmIjIJEr4RERmma7hE5H5RkO6IiIiIgmnhE9EREQk4TSkKyIiIpJwOsMnIiIiknBK+EREREQSTgmfiIiISMIp4RMRERFJOCV8IiIiIgmnhE9EREQk4ZTwiYiIiCTc/wMnNtOEeiscLQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#创建figure与axes对象\n",
    "fig,axes=plt.subplots()\n",
    "#设定figure图的大小\n",
    "fig.set_size_inches(10,10)\n",
    "axes.set_title(\"The GPD of China\")\n",
    "#设定axesx轴y轴的数值范围\n",
    "#axes.set_xlim(1800,2040)\n",
    "#axes.set_ylim(0,40000)\n",
    "axes.axis([1800,2040,0,40000])\n",
    "###基于plot方法绘图\n",
    "axes.plot(year,china)\n",
    "axes.axis('tight')\n",
    "#axes.axis('equal')\n",
    "axes.set_ylabel(\"人均GDP美元\",fontproperties=myfont)\n",
    "axes.set_xlabel(\"年\",fontproperties=myfont)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0d2c4ee4-6c7b-4061-bbc2-6ff387a7121f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:31:33.077857Z",
     "iopub.status.busy": "2022-03-21T02:31:33.077144Z",
     "iopub.status.idle": "2022-03-21T02:31:33.237079Z",
     "shell.execute_reply": "2022-03-21T02:31:33.236391Z",
     "shell.execute_reply.started": "2022-03-21T02:31:33.077826Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制sin函数，并通过调整spines来得到标准坐标轴\n",
    "import numpy as np \n",
    "x=np.linspace(-2*np.pi,2*np.pi,200)\n",
    "y=np.sin(x)\n",
    "fig3,axes3=plt.subplots()\n",
    "axes3.plot(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "132610d3-455c-40ab-9efd-72ffd2bebb7e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:43:03.920142Z",
     "iopub.status.busy": "2022-03-21T02:43:03.919015Z",
     "iopub.status.idle": "2022-03-21T02:43:04.090104Z",
     "shell.execute_reply": "2022-03-21T02:43:04.089274Z",
     "shell.execute_reply.started": "2022-03-21T02:43:03.920099Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 通过设置spines，将上面的sin图进行修饰\n",
    "import numpy as np \n",
    "x=np.linspace(-2*np.pi,2*np.pi,200)\n",
    "y=np.sin(x)\n",
    "fig3,axes3=plt.subplots()\n",
    "axes3.plot(x,y)\n",
    "axes3.spines['top'].set_visible(False)\n",
    "axes3.spines['right'].set_visible(False)\n",
    "axes3.spines['left'].set_position(('data',0))\n",
    "axes3.spines['bottom'].set_position(('data',0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "208fe23e-9a6a-4531-a71c-c492b8fc009b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T02:52:29.396303Z",
     "iopub.status.busy": "2022-03-21T02:52:29.395560Z",
     "iopub.status.idle": "2022-03-21T02:52:29.757001Z",
     "shell.execute_reply": "2022-03-21T02:52:29.756387Z",
     "shell.execute_reply.started": "2022-03-21T02:52:29.396270Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.FancyArrow at 0x7f87146ba610>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x792 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 通过设置spines，将上面的sin图进行修饰\n",
    "import numpy as np \n",
    "x=np.linspace(-2*np.pi,2*np.pi,200)\n",
    "y=np.sin(x)\n",
    "fig3,axes3=plt.subplots()\n",
    "fig3.set_size_inches(11,11)\n",
    "axes3.set_xlim(-7,7)\n",
    "axes3.set_ylim(-1,1)\n",
    "axes3.plot(x,y)\n",
    "axes3.spines['top'].set_visible(False)\n",
    "axes3.spines['right'].set_visible(False)\n",
    "axes3.spines['left'].set_position(('data',0))\n",
    "axes3.spines['bottom'].set_position(('data',0))\n",
    "# 为图像添加网格\n",
    "axes3.grid(color='gray',linestyle='--',alpha=0.2)\n",
    "# 为x轴，y轴绘制箭头\n",
    "# 绘制x轴箭头\n",
    "axes3.arrow(-7,0,13.8,0,width=0,shape='full',head_width=0.05,head_length=0.2)\n",
    "# 绘制y轴箭头\n",
    "axes3.arrow(0,-1,0,1.97,width=0,shape='full',head_width=0.25,head_length=0.02)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4e3c6e4d-c655-4f56-8525-3c84ab0fb651",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2022-03-21T02:52:47.024901Z",
     "iopub.status.busy": "2022-03-21T02:52:47.024300Z",
     "iopub.status.idle": "2022-03-21T02:52:47.162805Z",
     "shell.execute_reply": "2022-03-21T02:52:47.162128Z",
     "shell.execute_reply.started": "2022-03-21T02:52:47.024870Z"
    },
    "jupyter": {
     "outputs_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 结合箭头与网格，我们可以很直观第表达线性代数中向量的概念\n",
    " \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 我们使用numpy中的数组来表示向量\n",
    "v = np.array([2,1])\n",
    "\n",
    "# 绘制图像，展现向量的空间表达.\n",
    " \n",
    "fig,axes=plt.subplots()\n",
    "axes.set_xlim(0,3)\n",
    "axes.set_ylim(0,3)\n",
    "axes.grid()\n",
    "axes.arrow(0,0,v[0],v[1],head_length=0.1,head_width=0.1,color='blue')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fe003710-2783-491d-bc1b-e9c41b5d6811",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:33:56.415688Z",
     "iopub.status.busy": "2022-03-21T03:33:56.414738Z",
     "iopub.status.idle": "2022-03-21T03:33:56.893191Z",
     "shell.execute_reply": "2022-03-21T03:33:56.892408Z",
     "shell.execute_reply.started": "2022-03-21T03:33:56.415650Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAD8CAYAAAB6paOMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAG45JREFUeJzt3W2MXOV99/HvL6bGKk1hg10J2caYehOw0yjAyOFWpCRVg9kQYecWt1pTodiVgwXBqVSqSkS8oDIvmjZqqVDdhm1qQSIV8/BqUYOQy4OQoix4LByDXZldtqlZF5UNS3jj1GDzv1+cC3x2PLt7vHN2zuye30c68pynua4ZfsN/Z67zoIjAzMzq6xNVd8DMzKrlQmBmVnMuBGZmNedCYGZWcy4EZmY150JgZlZzsxcCaS/S20ivTbNeSA8ijSIdRro2t24b0kiatpXWa7MSSNor6W1Nk21lHpQ0KumwctmWtE3SSJqcbVvQinwjeBgYmGH914D+NO0E/gkA6VPAfcAXgI3AfUh9HfTVrGwPM4dsq0225WzbAjZ7IYh4EZicYYstwI+ICCKGgUuQLgNuBPYTMUnEu8B+Zv7QmXVVFMx2ZIaBS5TLdkRMhrNti8AFJTzHSuDN3Px4Wjbd8nNI2gn8BXDJsmXLlm/YsKGEbpm1d/DgwV9GxIoCm5aV7Z0AF1100XVXXXXVnPpsNpvzyPU5yigEHYuIQWAQoNFoRLPZrLhHtphJ+q9uteVsW7d0kusyjho6AazOza9Ky6ZbbrZQONtWC2UUgiHgm+nooeuB94h4C3gG2ITUlwaJN6VlZgvFEPDNdPTQ9cB7kcu2pD4527YIzP7TkPQo8BVgOdI42dESvwFAxA+AnwA3AaPASeBP0rpJpPuBA+mZdhMx08CcWVcpl221ZDtmyHZETKol2+Fs2wKmXrkMtaSbgZvXrVt3+8jISNXdsUVM0sGIaHS7XY8R2HzqJNc9c2ZxRDwVETsvvvjiqrtiZlYrPVMIzMysGi4EZmY150JgZlZzPVMIJN0safC9996ruitmZrXSM4XAg8VmZtXomUJgZmbVcCEwM6s5FwIzs5rrmULgwWIzs2r0TCHwYLGZWTV6phCYmVk1XAjMzGrOhcDMrOZ6phB4sNjMrBo9Uwg8WGxmVo1ihUAaQDqGNIp0T5v1DyAdStPrSL/KrTuTWzdUWs/NOiRpQNIxSaNqk2tJD0g6lKbXlcu1pDO5dc61LWhFblW5BNgD3ACMAweQhog4+vE2EX+W2/47wDW5Z/g1EZ8vqb9mpVCbXEsailyuI5drtcl1ONe2SBT5RrARGCVijIj3gX3Alhm2vxV4tIzOmc2jjcBoRIyFc201V6QQrATezM2Pp2XnktYAa4HnckuXITWRhpG+0X437ZQ0Imni+PHjxXpu1pnCudY0uZbUlDSsaXKd9t2ZtmtOTEyU0W+z0pU9WLwVeJKIM7lla8huqPzHwN8j/W7rThExGBH9EbHi8ssvL7lLZh3bCjwZLbmOXK7VJtfwcbYbEdFYsWJFN/pqdt6KFIITwOrc/Kq0rJ2ttH59jjiR/h0DXmDq76xmVeko15FyHc61LQJFCsEBoB9pLdJSsg/FuUdJSFcBfcDPcsv6kC5Mj5cDXwSOnrOvWfcdAPolrdUMuVabXEvqU8q1nGtbBGY/aijiNNIu4BlgCbCXiCNIu4EmER99eLYC+4iI3N5XAw8hfUhWdL435Wgjs4pExGm15DoijijlOlpyHW1yrVyuw7m2BUxT810dSTcDN69bt+72kZGRqrtji5ikg+n3/a5qNBrRbDa73azVRCe59pnFZmY11zOFwMzMquFCYGZWcy4EZmY11zOFwJehNjOrRs8UAg8Wm5lVo2cKgZmZVcOFwMys5lwIzMxqrmcKgQeLzcyq0TOFwIPFZmbV6JlCYGZm1XAhMDOrORcCM7Oa65lC4MFiM7Nq9Ewh8GCxmVk1ihUCaQDpGNIo0j1t1m9HmkA6lKZv5dZtQxpJ07bSem5WAkkDko5JGlWbbEvaLmlC0qE0fSu3bpukkTQ527ZgzX6rSmkJsAe4ARgHDiANtbnl5GNE7GrZ91PAfUADCOBg2vfdEvpu1hG1ybakoTa3nXwsWrKtNtlO+zrbtuAU+UawERglYoyI94F9wJaCz38jsJ+IyfQ///3AwNy6ala6jcBoRIzFHLMdEZPhbNsCV6QQrATezM2Pp2WtbkE6jPQk0urz2VfSzvT1euL48eMFu27WscLZlnRY0pOaW7abkpoTExNl9dusVGUNFj8FXEHE58j+MnrkfHaOiMGI6I+IFZdffnlJXTIrxVPAFdFZthsR0VixYsW8dNCsU0UKwQlgdW5+VVp2VsQ7RJxKcz8Eriu8r1l1Zs1nRLwTzrYtckUKwQGgH2kt0lJgKzA0ZQvpstzcZuA/0uNngE1IfUh9wKa0zKwXHAD6Ja3VNNnWLNmW1Cdn2xa42Y8aijiNtIss5EuAvUQcQdoNNIkYAv4UaTNwGpgEtqd9J5HuJ/vAAewmYrL0V2E2BxFxWi3ZjogjStmOlG21yXZETKol2+Fs2wKliKi6D0B2ZjFw87p1624fGRmpuju2iEk6GBGNbrfbaDSi2Wx2u1mriU5y7TOLzcxqrmcKgZmZVcOFwMys5lwIzMxqrmcKgS9DbWZWjZ4pBB4sNjOrRs8UAjMzq4YLgZlZzbkQmJnVXM8UAg8Wm5lVo2cKgQeLzcyq0TOFwMzMquFCYGZWcy4EZmY11zOFwIPFZmbVKFYIpAGkY0ijSPe0WX830tF08/pnkdbk1p1BOpSmoXP2TTxYbN0maUDSMUmjapNrSXdLOppuXP+scrmWdEbSoTRNm2uzhWD2O5RJS4A9wA3AOHAAaYiIo7mtXgEaRJxEuhP4G+CP0rpfE/H5crtt1hm1ybWkoWiT64g4qTa5DufaFoki3wg2AqNEjBHxPrAP2DJli4jniTiZ5obJbuRt1ss2AqMRMRbT5Doing/n2mqgSCFYCbyZmx9Py6azA3g6N78MqYk0jPSNdjtI2ilpRNLE8ePHC3TJrGMd51pSU9Kwpsk1fJztpqTmxMREZz02myez/zR0PqTbgAbw5dzSNUScQLoSeA7pVSLeyO8WEYPAIGT3dS21T2Yd0jS5jogTSrmW9Gq05BqcbVsYinwjOAGszs2vSsumkr4K3AtsJuLUx8sjTqR/x4AXgGvm2lmzEhXKtXK5jlyuI+U6nGtbBIoUggNAP9JapKXAVmDqURLSNcBDZEXg7dzyPqQL0+PlwBeBo5hV7wDQL2mtpsm1crmOXK4l9SnlWs61LQKz/zQUcRppF/AMsATYS8QRpN1Ak4gh4PvAbwFPIAEcJ2IzcDXwENKHZEXney1HG5lVIiJOqyXXEXFEKdfRkmulXEcu18rlOpxrW8AU0Rs/W0q6Gbh53bp1t4+MjFTdHVvEJB2MiEa32200GtFsNrvdrNVEJ7numTOLfUKZmVk1eqYQmJlZNVwIzMxqzoXAzKzmeqYQ+OqjZmbV6JlC4MFiM7Nq9EwhMDOzargQmJnVnAuBmVnN9Uwh8GCxmVk1eqYQeLDYzKwaPVMIzMysGi4EZmY150JgZlZzPVMIPFhsZlaNnikEHiw2M6tGsUIgDSAdQxpFuqfN+guRHkvrX0K6Irfuu2n5MaQbS+q3WSkkDUg6JmlUbbIt6UJJj6X1LymXbUnfTcuPydm2BWz2QiAtAfYAXwPWA7cirW/ZagfwLhHrgAeAv077rie7F+wGYAD4x/R8ZpVTm2xrmmxHS7bVJttytm2BKvKNYCMwSsQYEe8D+4AtLdtsAR5Jj58E/oDsJq9bgH1EnCLiP4HR9HxmvWAjMBoRY3Ee2VYu2xFxKpxtW+Bmv3k9rATezM2PA1+YdpvsZvfvAZem5cMt+65sbUDSTuAvgEuAM5IOzdCfi4GZRpRnWl/VvvP93JcDx3uwX73632JD+ve8sp1ueD+XbO9Ms6ckvTZDv+bTcuCXbndRt/2Zue5YpBDMu4gYBAYBJE3MdANmSYMRsXMu66vatwvPPe17thhfcxnv13TrytaS7eZcby7eqararlu7VbYtqTnXfYv8NHQCWJ2bX5WWtd9GuoDsL7J3Cu7b6lezrH+qg/VV7Tvfzz3Te7YYX3NZ79d5ZVudZ9usN0XEzBNcEDAWsDZgacDPAza0bHNXwA/S460Bj6fHG9L2F6b9xwKWzNQe0Jy1T578npXwfpF9Ix4D1gJLgZ/Tkm3gLlK2yQaHH0+PN6TtL0z7j9HD2a6q7bq1u1Bf8+w/DWW/+e8CngGWAHuJOIK0G2gSMQT8C/BjpFFgMn1gSNs9DhwFTgN3EXFmlhYHZ+2TtfJ7dn4G4ePf/KdkOyKOKGU7ctlWS7bTdlOyHb2d7ararlu7VbY953aVKomZmdVUz5xZbGZm1XAhMDOrueoKQSeXraij2d+v7UgTSIfS9K0Ketk7pL1IbzPdcfuSkB5M7+dhpGvLa3rul62Y53bvlnRU0mFJz0paU0a7RdrObXeLpJBUyuGVRdqV9IfpdR+R9K9ltFukbUmXS3pe0ivpPb+phDb3Snp7uvNRlHkw9emwiua6kpF1WBLwRsCVuSOR1rds8+2WI5Eeq+oogMqnYu/X9oB/qLyvvTLBlwKuDXhtmvU3BTwdoIDrA14qo12yQec3gCs5eyTS+pZtvs3UI5E6znbBdn8f+M30+M4y2i3adtruk8CLZCfiNbr0mvuBV4C+NP87XfzvPAjcmR6vB35RQrtfAq5lmlwDNwFPAwKup2Cuq/pG0MllK+qoyPtleREvkh3lM50twI/SJ2EYuATpshJa7uSyFfPabkQ8HxEn0+ww2bkPZSjymgHuJ7tW0/92sd3bgT0R8S5ARLzdxbYD+O30+GLgvzttNArmOjLDwCUqkOuqCkG7U/tbT8+fetmK7JIBl3ajcz2oyPsFcEv6meNJpNVt1ttZRd/T+XjeKZetoJxsn+/r2UH2l2MZZm07/USxOiL+raQ2C7ULfBr4tKSfShqWNNDFtv8SuE3SOPAT4Dsltd1pv87hweLF4yngCiI+B+zn7F+cZlNIug1oAN/vUnufAP4O+PNutNfiArKfh74C3Ar8s6RLutT2rcDDEbGK7CebH6f3oudU1alOLltRR7O/XxHvEHEqzf0QuK47XVuw5usSEZ1ctmK+20XSV4F7gc1xNi+dmq3tTwKfBV6Q9Auy366HShgwLvKax4GhiPggsqvEvk5WGDpVpO0dwOMAEfEzYBnZBenm09xyXcbAyXlPnVy2oo5Tsffrstzj/xswXHm/q57gihkGi7/eMlj8chlt0sFlK7rQ7jVkA5z9Zb7PRdpu2f4FyhksLvKaB4BH0uPlZD+bXNqltp8GtqfHV5ONEaiEtq9g+sHirzN1sLhQrksLw3lP2VEbr6ejYe5Ny3ZH9pcKAcsCnggYDXg54MrK+toL0+zv118FHElF4vmAqyrvc7Xv16MBbwV8EDAesCPgjoA70noF7Env56tRwv+YPprIfgZ4Pf1P9960bDfpvxXZX4ZPkN3D4GVKynaBdv8d+B/gUJqGuvWaW7YtpRAUfM0i+1nqKPAqsLWL/53XAz9NReIQsKmENh8F3gI+IPu2swO4g5Tr9Hr3pD69WvR99iUmzMxqbtYxgk5OYJC0TdJImraV2XGzTjnbZpkig8UPk/3ONp2vkQ2+9JPdiemfACR9CriP7I5PG4H7JPV10lmzkj2Ms202eyGIuZ/AcCOwPyImIzuZYz8zf+jMusrZNsuUcavK6U5gKHxig3L3db3ooouuu+qqq0rolll7Bw8e/GVErCiwqbNtC8Z55PocPXfP4kajEc3mnG+9aTYrSf/VrbacbeuWTnJdxgll053A4Hu62kLnbFstlFEIhoBvpiMsrgfei4i3yG7/t0lSXxpI25SWmS0UzrbVwqw/DUl6lOw6HcvTxZPuA34DICJ+QHYxpZvITo45CfxJWjcp6X7gQHqq3REx08CcWVc522aZWQtBRNw6y/ogO2W+3bq9wN65dc1sfjnbZpmevBKemZl1jwuBmVnNuRCYmdWcC4GZWc25EJiZ1ZwLgZlZzbkQmJnVnAuBmVnNuRCYmdWcC4GZWc25EJiZ1ZwLgZlZzbkQmJnVnAuBmVnNuRCYmdWcC4GZWc0VKgSSBiQdkzQq6Z426x+QdChNr0v6VW7dmdy6oTI7b9YJ59osU+RWlUuAPcANwDhwQNJQRBz9aJuI+LPc9t8Brsk9xa8j4vPlddmsc8612VlFvhFsBEYjYiwi3gf2AVtm2P5W4NEyOmc2j5xrs6RIIVgJvJmbH0/LziFpDbAWeC63eJmkpqRhSd+YZr+daZvmxMREwa6bdWTec532dbat55U9WLwVeDIizuSWrYmIBvDHwN9L+t3WnSJiMCIaEdFYsWJFyV0y69iccg3Oti0MRQrBCWB1bn5VWtbOVlq+PkfEifTvGPACU39nNauKc22WFCkEB4B+SWslLSX7UJxzlISkq4A+4Ge5ZX2SLkyPlwNfBI627mtWAefaLJn1qKGIOC1pF/AMsATYGxFHJO0GmhHx0YdnK7AvIiK3+9XAQ5I+JCs638sflWFWFefa7CxNzXf1Go1GNJvNqrthi5ikg+n3/a5ytm0+dZJrn1lsZlZzLgRmZjXnQmBmVnMuBGZmNedCYGZWcy4EZmY150JgZlZzLgRmZjXnQmBmVnMuBGZmNedCYGZWcy4EZmY150JgZlZzLgRmZjXnQmBmVnOFCoGkAUnHJI1KuqfN+u2SJiQdStO3cuu2SRpJ07YyO2/WKWfbrMAdyiQtAfYANwDjwAFJQ23uyPRYROxq2fdTwH1AAwjgYNr33VJ6b9YBZ9ssU+QbwUZgNCLGIuJ9YB+wpeDz3wjsj4jJ9AHZDwzMratmpXO2zShWCFYCb+bmx9OyVrdIOizpSUmrz2dfSTslNSU1JyYmCnbdrGPOthnlDRY/BVwREZ8j+8vokfPZOSIGI6IREY0VK1aU1CWzUjjbtugVKQQngNW5+VVp2cci4p2IOJVmfwhcV3Rfswo522YUKwQHgH5JayUtBbYCQ/kNJF2Wm90M/Ed6/AywSVKfpD5gU1pm1gucbTMKHDUUEacl7SIL+RJgb0QckbQbaEbEEPCnkjYDp4FJYHvad1LS/WQfOIDdETE5D6/D7Lw522YZRUTVfZii0WhEs9msuhu2iEk6GBGNbrfrbNt86iTXPrPYzKzmXAjMzGrOhcDMrOZcCMzMas6FwMys5lwIzMxqzoXAzKzmXAjMzGrOhcDMrOZcCMzMas6FwMys5lwIzMxqzoXAzKzmXAjMzGrOhcDMrOZcCMzMaq5QIZA0IOmYpFFJ97RZf7eko5IOS3pW0prcujOSDqVpqHVfs6o412aZWW9VKWkJsAe4ARgHDkgaioijuc1eARoRcVLSncDfAH+U1v06Ij5fcr/NOuJcm51V5BvBRmA0IsYi4n1gH7Alv0FEPB8RJ9PsMLCq3G6alc65NkuKFIKVwJu5+fG0bDo7gKdz88skNSUNS/pGux0k7UzbNCcmJgp0yaxj855rcLZtYZj1p6HzIek2oAF8Obd4TUSckHQl8JykVyPijfx+ETEIDEJ2g+8y+2TWqbnmGpxtWxiKfCM4AazOza9Ky6aQ9FXgXmBzRJz6aHlEnEj/jgEvANd00F+zsjjXZkmRQnAA6Je0VtJSYCsw5SgJSdcAD5F9WN7OLe+TdGF6vBz4IpAfjDOrinNtlsz601BEnJa0C3gGWALsjYgjknYDzYgYAr4P/BbwhCSA4xGxGbgaeEjSh2RF53stR2WYVcK5NjtLEb31s2Wj0Yhms1l1N2wRk3QwIhrdbtfZtvnUSa59ZrGZWc25EJiZ1ZwLgZlZzbkQmJnVnAuBmVnNuRCYmdWcC4GZWc25EJiZ1ZwLgZlZzbkQmJnVnAuBmVnNuRCYmdWcC4GZWc25EJiZ1ZwLgZlZzbkQmJnVXKFCIGlA0jFJo5LuabP+QkmPpfUvSboit+67afkxSTeW13WzzjnbZgUKgaQlwB7ga8B64FZJ61s22wG8GxHrgAeAv077rie7F+wGYAD4x/R8ZpVzts0yRb4RbARGI2IsIt4H9gFbWrbZAjySHj8J/IGym7xuAfZFxKmI+E9gND2fWS9wts0ocPN6YCXwZm5+HPjCdNukm4K/B1yalg+37LuytQFJO4GdafaUpNcK9b58y4Ff1qjdKtuu8jV/Jv3rbLvdxdT2Z2bfpL0ihWDeRcQgMAggqVnFjcWrbNuvufttd6stZ7te7VbZdie5LvLT0AlgdW5+VVrWdhtJFwAXA+8U3NesKs62GcUKwQGgX9JaSUvJBsiGWrYZAralx/8PeC4iIi3fmo68WAv0Ay+X03WzjjnbZhT4aSj9LroLeAZYAuyNiCOSdgPNiBgC/gX4saRRYJLsA0Xa7nHgKHAauCsizszS5ODcX07Hqmrbr7mCtp1tt7vI2p5zu8r+uDEzs7rymcVmZjXnQmBmVnOVFYJOTu3vQtt3Szoq6bCkZyWt6Ua7ue1ukRSSSjkErUi7kv4wveYjkv61jHaLtC3pcknPS3olvd83ldTuXklvT3fcvjIPpn4dlnRtGe2m564k21Xlukjbue2c7c7anJ9cR0TXJ7KBuTeAK4GlwM+B9S3bfBv4QXq8FXisi23/PvCb6fGdZbRdpN203SeBF8lOVmp06fX2A68AfWn+d7r4Xg8Cd6bH64FflNT2l4BrgdemWX8T8DQg4HrgpYWc7apy7Wx3N9vzleuqvhF0cmr/vLcdEc9HxMk0O0x2jPi8t5vcT3Y9m/8toc2i7d4O7ImIdwEi4u0uth3Ab6fHFwP/XUbDEfEi2VE+09kC/Cgyw8Alki4roemqsl1Vrgu1nTjbHZqvXFdVCNqd2t96ev6UU/uBj07t70bbeTvIKuy8t5u+xq2OiH8rob3C7QKfBj4t6aeShiUNdLHtvwRukzQO/AT4Tkltz+Z8c1Dm885HtqvKdaG2ne2uZXtOue6JS0z0Kkm3AQ3gy11o6xPA3wHb57utNi4g+wr9FbK/El+U9HsR8asutH0r8HBE/K2k/0N2zP5nI+LDLrRdS93MdWrP2e7xbFf1jaCTU/u70TaSvgrcC2yOiFNdaPeTwGeBFyT9guz3vaESBtWKvN5xYCgiPojsSpqvk314OlWk7R3A4wAR8TNgGdlFu+bbfF0ioqpsV5XrIm07293L9txyXcbAyRwGPC4AxoC1nB1o2dCyzV1MHVB7vIttX0M2ENTfzdfcsv0LlDOgVuT1DgCPpMfLyb5aXtqltp8GtqfHV5P9jqqS3vMrmH5Q7etMHVR7eSFnu6pcO9vdz/Z85Lq0MMzhxdxEVp3fAO5Ny3aT/aUCWfV8guw67y8DV3ax7X8H/gc4lKahbrTbsm0pH5aCr1dkX92PAq8CW7v4Xq8Hfpo+SIeATSW1+yjwFvAB2V+FO4A7gDtyr3lP6terZb3XVWa7qlw7293L9nzl2peYMDOrOZ9ZbGZWcy4EZmY150JgZlZzLgRmZjXnQmBmVnMuBGZmNedCYGZWc/8fS8gSzJe8LNkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as ticker\n",
    "\n",
    "# 设置主要刻度major和次要刻度minor\n",
    "fig,axs=plt.subplots(2,2)\n",
    "axs[0,0].xaxis.set_major_locator(ticker.MultipleLocator(0.5))#设置x轴主刻度单位为0.5\n",
    "axs[0,0].xaxis.set_minor_locator(ticker.MultipleLocator(0.05))#设置x轴次刻度单位为0.05\n",
    "axs[0,0].yaxis.set_major_locator(ticker.MultipleLocator(0.25))#设置y轴主刻度单位为0.25\n",
    "axs[0,0].yaxis.set_minor_locator(ticker.MultipleLocator(0.05))#设置y轴次刻度单位为0.05\n",
    "axs[0,0].tick_params(which='major',labelcolor='red')#设置主刻度颜色为红色\n",
    "axs[0,0].tick_params(which=\"minor\",labelsize=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b6273069-ed9b-475a-8a47-6e193b6b3458",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:32:59.869415Z",
     "iopub.status.busy": "2022-03-21T03:32:59.868881Z",
     "iopub.status.idle": "2022-03-21T03:33:00.367612Z",
     "shell.execute_reply": "2022-03-21T03:33:00.366844Z",
     "shell.execute_reply.started": "2022-03-21T03:32:59.869382Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f84e2e54050>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "## 中文显示问题\n",
    "myfont=FontProperties(fname=r\"/home/aistudio/external-libraries/微软雅黑.ttf\",size=12)\n",
    "#创建figure对象以及对象包含的多个子图\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(5,5)\n",
    "fig2.suptitle(\"各国GDP\",fontproperties=myfont)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"中国\",fontproperties=myfont)# 给第一个图副值titile\n",
    "#我们单独给第一个图的x轴y轴设置了不同的数值范围\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red',label='GDP' )\n",
    "#定义第三个字图\n",
    "ax2=axes2[1,0]\n",
    "ax2.set_title(\"美国\",fontproperties=myfont)\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "# 加入图例\n",
    "ax1.legend()\n",
    "ax2.legend(('the gdp of usa',),loc='right',fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6d4c9fb6-c53f-432f-927a-c22f63f3b743",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:32:32.694843Z",
     "iopub.status.busy": "2022-03-21T03:32:32.693967Z",
     "iopub.status.idle": "2022-03-21T03:32:33.039041Z",
     "shell.execute_reply": "2022-03-21T03:32:33.038179Z",
     "shell.execute_reply.started": "2022-03-21T03:32:32.694794Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(1950,5000,'1979年改革开放')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出中国人均GDP折线图，并标注重大事件时间\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "fig,axes=plt.subplots()\n",
    "axes.plot(year,china)\n",
    "axes.annotate('1979年改革开放',xy=(1979,1064),xytext=(1950,5000),arrowprops=dict(facecolor='r',shrink=0.05),fontproperties=myfont)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c0d04e0b-0558-487c-b627-0a1029eccb33",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:27:14.180075Z",
     "iopub.status.busy": "2022-03-21T03:27:14.179180Z",
     "iopub.status.idle": "2022-03-21T03:27:14.892101Z",
     "shell.execute_reply": "2022-03-21T03:27:14.891480Z",
     "shell.execute_reply.started": "2022-03-21T03:27:14.180037Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "import os\n",
    "## 中文显示问题\n",
    "myfont=FontProperties(fname=r\"/home/aistudio/external-libraries/微软雅黑.ttf\",size=12)\n",
    "#创建figure对象以及对象包含的多个子图\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(12,12)\n",
    "fig2.suptitle(\"各国GDP\",fontproperties=myfont)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"中国\",fontproperties=myfont)# 给第一个图副值titile\n",
    "#我们单独给第一个图的x轴y轴设置了不同的数值范围\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red',label='GDP' )\n",
    "#加入箭头指示说明文字\n",
    "ax1.annotate('1979年改革开放',xy=(1979,1064),xytext=(1920,10000),arrowprops=dict(facecolor='r',shrink=0.05),fontproperties=myfont)\n",
    "#定义第三个字图\n",
    "ax2=axes2[1,0]\n",
    "ax2.set_title(\"美国\",fontproperties=myfont)\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "# 加入图例\n",
    "ax1.legend()\n",
    "ax2.legend(('the gdp of usa',),loc='right',fontsize=12)\n",
    "fig2.subplots_adjust(left=None,hspace=0.5,wspace=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "17063279-ae87-4a1e-be9d-4da8c4b05ea8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-21T03:31:16.505082Z",
     "iopub.status.busy": "2022-03-21T03:31:16.504075Z",
     "iopub.status.idle": "2022-03-21T03:31:17.335145Z",
     "shell.execute_reply": "2022-03-21T03:31:17.334317Z",
     "shell.execute_reply.started": "2022-03-21T03:31:16.505035Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "## 中文显示问题\n",
    "myfont=FontProperties(fname=r\"/home/aistudio/external-libraries/微软雅黑.ttf\",size=12)\n",
    "#创建figure对象以及对象包含的多个子图\n",
    "fig2,axes2=plt.subplots(2,2)\n",
    "fig2.set_size_inches(12,12)\n",
    "fig2.suptitle(\"各国GDP\",fontproperties=myfont)\n",
    "ax1=axes2[0,0]\n",
    "ax1.set_title(\"中国\",fontproperties=myfont)# 给第一个图副值titile\n",
    "#我们单独给第一个图的x轴y轴设置了不同的数值范围\n",
    "ax1.set_xlim([1800,2040])\n",
    "ax1.set_ylim([0,80000])\n",
    "ax1.plot(year,china,color='red',label='GDP' )\n",
    "#定义第三个字图\n",
    "ax2=axes2[1,0]\n",
    "ax2.set_title(\"美国\",fontproperties=myfont)\n",
    "ax2.set_xlim([1800,2040])\n",
    "ax2.set_ylim([0,80000])\n",
    "ax2.plot(year,usa,color='blue')\n",
    "# 加入图例\n",
    "ax1.legend()\n",
    "ax2.legend(('the gdp of usa',),loc='right',fontsize=12)\n",
    "fig2.subplots_adjust(left=None,hspace=0.5,wspace=0.3)\n",
    "# 导出文件到本地保存\n",
    "gfile='课堂作业/data/gdp.jpeg'\n",
    "if os.path.exists(gfile):\n",
    "    os.remove(gfile)\n",
    "else:\n",
    "    fig2.savefig(gfile)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "py35-paddle1.2.0"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
